TW201517624A - Method and apparatus for generating high dynamic range images and computer program product - Google Patents

Abstract

A method for generating high dynamic range (HDR) images, comprising: capturing a spatially varying exposure image data of a scene by an image sensing array using a first exposure value and a second exposure value, wherein the first exposure value is larger than the second exposure value; re-sampling the spatially varying exposure image data to obtain a first image data of the scene corresponding to the first exposure value and second image data of the scene corresponding to the second exposure value; determining a motion index of each pixel of a HDR image data according to the first image data and the second image data; determining a pixel value of each pixel of the HDR image data according to a first pixel value of a corresponding pixel of the first image data, a second pixel value of a corresponding pixel of the second image data and the motion index; and outputting the HDR image data.

Description

Method and apparatus for generating high dynamic range images and computer program products

The present invention relates to image signal processing techniques, and more particularly to techniques for producing high dynamic range images.

In image processing technology, the ratio of the highest brightness to the lowest brightness in an image is defined as the dynamic range of the image. Taking a Complementary Metal Oxide Semiconductor (CMOS) image sensor as an example, the dynamic range of the image captured by the CMOS image sensor is affected by the noise floor and the full well capacity. Therefore, the dynamic range of the image captured by the CMOS image sensor that provides 8-bit (256-step) brightness information per pixel is much lower than the real-world dynamic range sensed by the human eye. The CMOS image sensor adjusts the exposure time and photosensitivity to match the scene you want to capture. However, if there are bright areas and dark areas in the scene to be captured, such as scenes with very large contrast, some of the image information may not be clearly indicated. For example, in images captured with high exposure, details in dark areas can be clearly displayed but overexposed in bright areas. Conversely, in images captured with low exposure, the details in the bright areas are clearly displayed but the dark areas are too dark and too noisy.

In a method of expanding the dynamic range of a CMOS image sensor, dark noise or full well capacity is reduced. In another method of expanding the dynamic range of a CMOS image sensor, a plurality of pixel cells having different photosensitivity are used to produce a high dynamic range image in one capture. In addition, in yet another method of expanding the dynamic range of the CMOS image sensor, a high dynamic range image is produced in combination with a plurality of image data captured at different exposures. Nonetheless, when expanding the dynamic range of CMOS image sensors in the above manner, other issues such as motion blur, motion artifacts, increased processing time, and increased hardware cost are still to be considered.

In view of this, the present invention provides a cost effective method to produce high dynamic range images without motion blur and motion artifacts.

In one embodiment, the present invention provides a method for generating a high dynamic range image, comprising: capturing an exposure of a scene with a first exposure value and a second exposure value by an image sensing array; Image data, wherein the first exposure value is greater than the second exposure value; re-sampling the image data of the exposure space-dependent to obtain a first image data corresponding to the first exposure value of the scene and the scene corresponding to the second a second image data of the exposure value; determining, according to the first image data and the second image data, a motion index of each pixel of the high dynamic range image data; and corresponding to the pixel according to the first image data a pixel value, a second image value corresponding to the pixel of the second image data, and the motion index, determining a pixel value of each pixel of the high dynamic range image data; and outputting the high dynamic range image data.

In another embodiment, the present invention provides a high dynamic range The image sensing device includes: an image sensing array, wherein a first exposure value and a second exposure value are used to capture one of the scenes to expose the spatially varying image data, wherein the first exposure value is greater than the second exposure value And an image processor coupled to the image sensing array, comprising: a resampler, and sampling the spatially varying image data to obtain a first image data corresponding to the first exposure value of the scene and the The scene corresponds to a second image data of the second exposure value; a motion detector determines a motion index of each pixel of the high dynamic range image data according to the first image data and the second image data; a saturation detector, determining a high dynamic range image data according to a first pixel value corresponding to one of the first image data, a second image value corresponding to the pixel of the second image data, and the motion index One pixel value of one pixel, and the high dynamic range image data is output.

In still another embodiment, the present invention provides a computer program product loaded by an electronic device to cause the electronic device to perform a method for generating a high dynamic range image, comprising: a first code for The image sensing array uses a first exposure value and a second exposure value to capture one of the scenes to expose the spatially varying image data, wherein the first exposure value is greater than the second exposure value; a second code, And re-sampling the image data of the exposure according to the space to obtain a first image data corresponding to the first exposure value of the scene and a second image data corresponding to the second exposure value of the scene; a third code, And determining, according to the first image data and the second image data, a motion index of each pixel of the high dynamic range image data; and a fourth code for using the pixel corresponding to the first image data Determining, by the first pixel value, the second image value of the pixel corresponding to the second image data, and the motion index, determining a pixel value of each pixel of the high dynamic range image data; A fifth code for outputting the high dynamic range image data.

10‧‧‧Methods for generating high dynamic range images

80‧‧‧Devices that produce high dynamic range images

310, 320‧‧‧ points time

800‧‧‧Image Sensing Array

810‧‧‧ image processor

811‧‧‧Resampler

812‧‧‧ motion detector

813‧‧‧Multiplier

814‧‧‧Mixer

815‧‧‧Saturation detector

CIMD‧‧‧ mixed image data

D‧‧‧like numerical difference

EV1‧‧‧ first exposure value

EV2‧‧‧second exposure value

GA‧‧‧ exposure gain

HIMD‧‧‧High dynamic range image data

IMD1‧‧‧ first image data

IMD2‧‧‧Second imagery

MI‧‧‧ Sports Index

MIMD‧‧‧ Gain image data

P0, P1, P2, P3, P4, P5‧‧ ‧ pixels

P ₁₁ -P ₁₅ , P ₂₁ -P ₂₅ , P ₃₁ -P ₃₅ , P ₄₁ -P ₄₅ ‧‧ ‧ pixels

P ¹ ₁₁ -P ¹ ₁₅ , P ¹ ₂₁ -P ¹ ₂₅ , P ¹ ₃₁ -P ¹ ₃₅ , P ¹ ₄₁ -P ¹ ₄₅ ‧‧ ‧ pixels

P ² ₁₁ -P ² ₁₅ , P ² ₂₁ -P ² ₂₅ , P ² ₃₁ -P ² ₃₅ , P ² ₄₁ -P ² ₄₅ ‧‧ ‧ pixels

S1, S2, S3, S4‧‧‧ distance

S100, S200, S300, S400‧‧‧ steps

SIMD‧‧‧Exposure imagery with spatial variation

TH1, TH2‧‧‧ threshold

Tre, Trs1, Trs2‧‧‧

1 is a flow chart of a method of generating a high dynamic range image in accordance with an embodiment of the present invention.

FIG. 2A is a diagram showing an exemplary composition of an image sensing array for capturing image data of spatially varying exposure according to an embodiment of the invention.

FIG. 2B is a diagram showing another exemplary composition of an image sensing array for capturing image data of spatial variation of exposure according to an embodiment of the invention.

Figure 3 is a timing diagram showing the integration time for different exposure values in accordance with an embodiment of the present invention.

Fig. 4 is a view showing image data of exposure varying with space according to an embodiment of the present invention.

FIG. 5A is a schematic diagram showing first image data corresponding to a first exposure value according to an embodiment of the invention.

FIG. 5B is a schematic diagram showing second image data corresponding to a second exposure value according to an embodiment of the invention.

Figure 6 is a schematic diagram of high dynamic range image data in accordance with an embodiment of the present invention.

Figure 7 is a diagram showing the relationship between the pixel value difference and the motion index.

Figure 8 is a schematic illustration of an apparatus for generating high dynamic range images in accordance with an embodiment of the present invention.

The following description is an embodiment of the present invention. The intent is to exemplify the general principles of the invention and should not be construed as limiting the scope of the invention, which is defined by the scope of the claims.

1 is a flow chart of a method 10 of generating a high dynamic range image in accordance with an embodiment of the present invention. First, in step S100, the first image data IMD1 corresponding to the first exposure value EV1 of the scene and the second image data IMD2 corresponding to the second exposure value EV2 of the scene are obtained. In the present specification, the first exposure value EV1 is greater than the second exposure value EV2. The first image data IMD1 and the second image data IMD2 are obtained by resampling the image data of the exposure of the scene with spatial variation, and the image data of the exposure varying with space is utilized by the image sensing array (for example, CMOS sensing array). An exposure value EV1 and a second exposure value EV2 are obtained. Referring to FIG. 2A, FIG. 2A is a diagram showing an exemplary composition of an image sensing array for capturing image data of spatially varying exposure according to an embodiment of the invention. The image sensing array is covered with a Bayer color filter array. As shown in FIG. 2A, the image sensing pixels sense the scene with different exposure values (first exposure value EV1 and second exposure value EV2). It should be noted that the present invention is not limited to the composition of the image sensing array for capturing image data whose exposure varies with space as shown in FIG. 2A. For example, FIG. 2B is a diagram showing another exemplary composition of an image sensing array for capturing image data of spatial variation of exposure according to an embodiment of the invention. Since there is no physical shutter in an image device including a CMOS sensing array, different exposure values are achieved with different integration times (charge storage time). Figure 3 is a timing diagram showing the integration time for different exposure values in accordance with an embodiment of the present invention. Figure 3 is a timing diagram showing the integration time for different exposure values in accordance with an embodiment of the present invention. The sensed data is read out from the COMS sensing array in columns and columns. Thus, the integration time for different exposure values is configured to end at the same point in time but start at a different point in time. In FIG. 3, the integration time 310 of the first exposure value EV1 starts at the time point Trs1 and ends at the time point Tre, and the integration time 320 of the second exposure value EV2 starts at the time point Trs2 and ends at the time point Tre. For example, in a column of pixels of the CMOS sensing array, the pixels configured to sense the data with the first exposure value are reset at the time point Trs1, and the pixels configured to sense the data with the second exposure value. At the time point Trs2, it is reset, and then the sensing data of all the pixels of the column of pixels are read out at the time point Tre.

FIG. 4 is a schematic diagram showing an image data SIMD of exposure varying with space according to an embodiment of the invention. The image data of the exposure-space-changing image data SIMD is captured by the image sensing array configured as shown in FIG. 2A, and each pixel of the image data SIMD of the exposure-variant space includes a corresponding first exposure value EV1 and a second exposure value EV2. One of the pixel values. FIG. 5A is a schematic diagram showing the first image data IMD1 corresponding to the first exposure value EV1 according to an embodiment of the invention. FIG. 5B is a schematic diagram showing the second image data IMD2 corresponding to the second exposure value EV1 according to an embodiment of the invention. The first image data IMD1 and the second image data IMD2 can be obtained by resampling the image data SIMD of the exposure-variant image shown in FIG. The first image data IMD1 is a matrix of image data corresponding to the first exposure value EV1, and the second image data IMD2 is a matrix of image data corresponding to the second exposure value EV2. For example, the pixel values of the pixels P ¹ _1,3 in the first image data IMD1 in FIG. 5A and the pixel values of the pixels P ² _1,3 in the second image data IMD2 in the fifth image are respectively obtained by the following formula: ;as well as Wherein Sn represents the distance between the center position of the pixel P n and the center position of the pixels P 2 and P 3 , and the center positions of the pixels P 2 and P 3 correspond to the center position of the pixel P ¹ _1,3 and P ² _1, The center position of ₃ , and V ( P ) represents the pixel value of the pixel P. It should be noted that the present invention is not limited to the above resampling. For example, resampling may be adjusted based on the configuration of the image sensing array used to capture image data that varies spatially with exposure.

Next, in step S200, a motion index of each pixel of the high dynamic range image data HIMD is determined according to the first image data IMD1 and the second image data IMD2. FIG. 6 is a schematic diagram of a high dynamic range image data HIMD according to an embodiment of the invention. The high dynamic range image data HIMD is a matrix of high dynamic range image data. The high dynamic range image data HIMD, the first image data IMD1, and the second image data IMD2 have the same size. The motion index of each pixel of the high dynamic range image data HIMD is determined according to the pixel value difference of each pixel of the high dynamic range image data HIMD and the threshold values TH1 and TH2. Fig. 7 is a diagram showing the relationship between the pixel value difference D and the motion index MI. As shown in FIG. 7, if the pixel value difference of one pixel of the high dynamic range image data HIMD is less than or equal to the first threshold TH1, the motion index of the pixel is 0. If the pixel value difference of one pixel of the high dynamic range image data HIMD is greater than or equal to the second threshold TH2, the motion index of the pixel is 1. In addition, if the pixel value difference of one pixel of the high dynamic range image data HIMD is greater than the first threshold TH1 and less than the second threshold TH2, the motion index of the pixel is a value greater than 0 and less than 1, and the pixel value difference is The larger the motion index, the larger the index. For example, as shown in FIG. 7, if the pixel value difference X of one pixel of the high dynamic range image data HIMD is greater than the first threshold TH1 and smaller than the second threshold TH2, the motion index of the pixel is equal to . The thresholds TH1 and TH2 can be determined according to noise tolerance. Although in Fig. 7, the relationship between the motion index and the image value difference in the interval between the thresholds TH1 and TH2 is linear, the present invention is not limited thereto.

The pixel value difference of one pixel of the high dynamic range image data HIMD is determined according to the first image data IMD1 and the second image data IMD2. The image value difference D _i,j of each pixel P _i,j of the high dynamic range image data HIMD is calculated according to the following:

Where GA represents an exposure gain and is equal to 2 ^(EV1-EV2) . Since the first image data IMD1 and the second image data IMD2 are obtained according to different exposure values, when calculating the image difference, the second pixel value in the second image data IMD2 must be multiplied by the exposure gain (that is, 2 ^{( EV1-EV2)} ).

Taking the pixel P _3,3 of the high dynamic range image data HIMD of FIG. 6 as an example, the pixel value difference D _{3, 3} is calculated according to the following:

In step S300, the pixel value V ( P _i,j ) of each pixel P _i,j of the high dynamic range image data HIMD is based on the corresponding first pixel value V ( P ¹ _i,j ) and the corresponding second pixel value. V ( P ² _i,j ), the motion index M _i,j and the saturation threshold TH are determined. The pixel value V ( P _i,j ) is determined according to the following:

If the first pixel value V ( P ¹ _i,j ) is greater than or equal to the saturation threshold TH, that is, the pixel P ¹ _i,j has an overexposure phenomenon, the pixel value V ( P _i,j ) is equal to the second pixel value. V ( P ² _i,j ) is multiplied by the exposure gain. The value of the exposure gain is equal to 2 ^(EV1-EV2) . On the other hand, if the first pixel value V ( P ¹ _i,j ) is less than the saturation threshold TH, that is, the pixel P ¹ _i,j has no overexposure, the pixel value V ( P _i,j ) is the first The pixel value V ( P ¹ _i,j ) and the second pixel value V ( P ² _i,j ) multiplied by the exposure gain are both according to a combination of the motion indices M _i,j as shown in the above formula.

In step S400, the high dynamic range image data HIMD is output. As described above, in the present invention, when the first pixel value V ( P ¹ _i,j ) is smaller than the saturation threshold TH, the motion index M _{i,j is} used to combine the first pixel value V ( P ¹ _i,j ) and Multiplying the second pixel value V ( P ² _i,j ) of the exposure gain GA to generate the pixel value V ( P _i,j ), rather than when the first pixel value V ( P ¹ _i,j ) is less than the saturation threshold TH The pixel value V ( P _i,j ) is directly set to the first pixel value V ( P ¹ _i,j ). Therefore, when high dynamic range image data HIMD is generated according to the present invention, motion blur and/or motion artifacts can be reduced.

Figure 8 is a schematic illustration of an apparatus 80 for generating high dynamic range images in accordance with an embodiment of the present invention. The device 80 for generating a high dynamic range image includes an image sensing array 800, such as a CMOS sensing array, and an image processor 810 coupled to the image sensing array 800. The image processor 810 includes a resampler 811, a motion detector 812, a multiplier 813, a mixer 814, and a saturation detector 815. The modules in image processor 810 can include image processing hardware, software stored in a non-transitory computer reading medium and executable by a data processor, or any combination thereof, and configured to perform the functions described above.

The resampler 811 resamples the image sensing array 800 with the first exposure value EV1 and the second exposure value EV2 to capture the spatially varying image data SIMD of a scene to obtain the first exposure value EV1 corresponding to the scene. First image The IMD 1 and the scene corresponding to the second image data IMD2 of the second exposure value V2. The details of the exposure-to-spatial image data SIMD, the resampling method, the first image data IMD1, and the second image data IMD2 have been described above and will not be repeated for the sake of brevity.

The multiplier 813 multiplies the pixel value of each pixel P ² _i,j of the second image data IMD2 by the exposure gain GA and generates the gain image data MIMD. The value of the exposure gain is equal to 2 ^(EV1-EV2) . The motion detector 812, the mixer 814, and the saturation detector 815 determine the motion index M _i,j of each pixel P _i,j of the high dynamic range image data HIMD according to the first image data IMD1 and the second image data IMD2 _. And outputting the motion index M _i,j of each pixel P _i,j of the high dynamic range image data HIMD to the mixer 814. The details of determining the motion index have been described above and will not be repeated for the sake of brevity.

The mixer 814 receives the motion index M _i,j of each pixel P _i,j of the first image data IMD1, the gain image data MIMD, and the high dynamic range image data HIMD and then generates the mixed image data CIMD. The pixel value of each pixel P ^c _i,j of the mixed image data CIMD is equal to the pixel value of the corresponding pixel P ¹ _i,j in the first image data IMD1 and the pixel value of the corresponding pixel P ^M _i,j in the gain image data MIMD according to Corresponding to the combination of the motion index M _i,j , ie, . The saturation detector 815 receives the mixed image data CIMD and the gain image data MIMD, determines the pixel value of each pixel P _i,j of the high dynamic range image data HIMD, and outputs the high dynamic range image data HIMD. The difference in the number of pixels per pixel P _i,j of the high dynamic range image data HIMD is determined according to the following:

Other modules of image processor 810, such as a color demosaicing module, can further process high dynamic range image data HIMD.

The method of the invention, or a particular type or portion thereof, may exist in the form of a code. The code may be embodied in a physical medium such as a floppy disk, a CD, a hard disk, or any other electronic device or a non-transitory machine readable (eg computer readable) storage medium, or is not limited to an external form. A computer program product, wherein when the code is loaded and executed by a machine, such as a computer, the machine becomes a device or system for participating in the present invention and the method steps of the present invention can be performed. The code can also be transmitted over some transmission medium, such as wire or cable, fiber optics, or any transmission type, where the machine becomes available when the code is received, loaded, and executed by an electronic device or machine, such as a computer. To participate in the system or device of the present invention. When implemented in a general purpose processing unit, the code combination processing unit provides a unique means of operation similar to application specific logic.

In one embodiment, the present invention provides a computer program product loaded by an electronic device to cause the electronic device to perform a method for generating a high dynamic range image, comprising: a first code for using an image Sensing the array, using a first exposure value and a second exposure value to capture one of the scenes to expose the spatially varying image data, wherein the first exposure value is greater than the second exposure value; a second code is used And re-sampling the image data of the exposure according to the space to obtain a first image data corresponding to the first exposure value of the scene and a second image data corresponding to the second exposure value of the scene; a third code, Determining, according to the first image data and the second image data, a motion index of each pixel of the high dynamic range image data; and a fourth code for using the corresponding pixel according to the first image data a pixel value, a second image value corresponding to one of the second image data, and The motion index determines a pixel value of each pixel of the high dynamic range image data; and a fifth code for outputting the high dynamic range image data. The determination of the pixel value of each pixel of the first image data, the second image data, the motion index, and the high dynamic range image data is described above, and will not be repeated herein for the sake of brevity.

The above is an overview feature of the embodiment. Those having ordinary skill in the art should be able to use the present invention as a basis for design or adaptation to achieve the same objectives and/or achieve the same advantages of the embodiments described herein. It should be understood by those of ordinary skill in the art that the same configuration should not depart from the spirit and scope of the present invention, and various changes, substitutions and substitutions can be made without departing from the spirit and scope of the present invention. The illustrative methods are merely illustrative of the steps, but are not necessarily performed in the order presented. The steps may be additionally added, substituted, changed, and/or eliminated, as appropriate, and are consistent with the spirit and scope of the disclosed embodiments.

10‧‧‧Methods for generating high dynamic range images

S100, S200, S300, S400‧‧‧ steps

Claims (12)

A method for generating a high dynamic range image, comprising: capturing an image of a spatially varying image by using a first exposure value and a second exposure value by using an image sensing array, wherein the first exposure The value is greater than the second exposure value; the image data of the exposure varies with space is resampled to obtain a first image data corresponding to the first exposure value of the scene and a second image data corresponding to the second exposure value of the scene; Determining, according to the first image data and the second image data, a motion index of each pixel of the high dynamic range image data; and corresponding to the first pixel value of the pixel and the second image data according to the first image data Corresponding to a second image value of the pixel and the motion index, determining a pixel value of each pixel of the high dynamic range image data; and outputting the high dynamic range image data. The method for generating a high dynamic range image as described in claim 1, wherein the motion index M _{i , j} of each pixel P _{i , j} of the high dynamic range image data is determined according to the following: The pixel value difference of each pixel P _{i , j} of the range image data is less than or equal to a first threshold, and the motion index M _{i , j} is 0; if the pixel of each high dynamic range image data P _{i , j} The pixel value difference is greater than or equal to a second threshold, the motion index M _{i , j} is 1; and if the pixel value difference of each pixel P _{i , j} of the high dynamic range image data is greater than the first threshold and less than the The second threshold, the motion index M _{i , j} is a value greater than 0 and less than 1, wherein the larger the pixel value difference is, the larger the motion index M _{i , j} is. The method for generating a high dynamic range image as described in claim 2, wherein the pixel value difference D _{i , j} of each pixel P _{i , j} of the high dynamic range image data is calculated according to the following: Where V ( P ) represents the pixel value of a pixel P , GA represents an exposure gain and is equal to 2 ^(EV1-EV2) , where EV1 represents the first exposure value and EV2 represents the second exposure value. The method for generating a high dynamic range image as described in claim 3, wherein the pixel value V ( P _{i , j} ) of each pixel P _{i , j} of the high dynamic range image data is determined according to the following: The first pixel value is greater than or equal to a saturation threshold, and the pixel value V ( P _{i , j} ) of each pixel P _{i , j} of the high dynamic range image data is equal to the second pixel value multiplied by the exposure gain; If the first pixel value is less than a saturation threshold, the pixel value V ( P _{i , j} ) of each pixel P _{i , j} of the high dynamic range image data is equal to (1- M _{i , j} )× (the first Pixel value) + M _{i , j} × GA × (this second pixel value). A device for generating high dynamic range images, comprising: An image sensing array, using a first exposure value and a second exposure value to capture one of a scene to expose spatially varying image data, wherein the first exposure value is greater than the second exposure value; and an image processor And coupled to the image sensing array, comprising: a resampler, and then sampling the image data of the exposure according to the space to obtain a first image data corresponding to the first exposure value of the scene and the scene corresponding to the second exposure a second image data of the value; a motion detector, determining a motion index of each pixel of the high dynamic range image data according to the first image data and the second image data; and a saturation detector, Determining a pixel value of each pixel of the high dynamic range image data according to the first pixel value of the corresponding pixel of the first image data, the second image value of the corresponding pixel of the second image data, and the motion index And outputting the high dynamic range image data. The apparatus for generating a high dynamic range image according to claim 5, wherein the motion detector determines the motion index M _{i , j} of each pixel P _{i , j} of the high dynamic range image data according to the following; If the pixel value difference of each pixel P _{i , j} of the high dynamic range image data is less than or equal to a first threshold, the motion index M _{i , j} is 0; if each pixel of the high dynamic range image data P _i The pixel value difference of _j is greater than or equal to a second threshold, the motion index M _{i , j} is 1; and if the pixel value difference of each pixel P _{i , j} of the high dynamic range image data is greater than the first The threshold value is less than the second threshold, and the motion index M _{i , j} is a value greater than 0 and less than 1, wherein the larger the pixel value difference is, the larger the motion index M _{i , j} is. The apparatus for generating a high dynamic range image as described in claim 6 wherein the pixel value difference D _{i , j} of each pixel P _{i , j} of the high dynamic range image data is calculated according to the following: Where V ( P ) represents the pixel value of a pixel P , GA represents an exposure gain and is equal to 2 ^(EV1-EV2) , where EV1 represents the first exposure value and EV2 represents the second exposure value. The apparatus for generating a high dynamic range image according to claim 7 , wherein the saturation detector determines the pixel value V ( P _i of each pixel P _{i , j} of the high dynamic range image data according to the following _{: j} ): if the first pixel value is greater than or equal to a saturation threshold, the pixel value V ( P _{i , j} ) of each pixel P _{i , j} of the high dynamic range image data is equal to the second pixel value multiplied by the An exposure gain; and if the first pixel value is less than a saturation threshold, the pixel value V ( P _{i , j} ) of each pixel P _{i , j} of the high dynamic range image data is equal to (1- M _{i , j} )× (The first pixel value) + M _{i , j} × GA × (the second pixel value). a computer program product that is loaded by an electronic device to make the electricity The sub-device performs a method for generating a high dynamic range image, comprising: a first code for capturing an exposure of a scene by using a first exposure value and a second exposure value by using an image sensing array Spatially varying image data, wherein the first exposure value is greater than the second exposure value; a second code for resampling the image data of the exposure spatially varying to obtain a first exposure value corresponding to the scene An image data and a second image data corresponding to the second exposure value of the scene; a third code for determining each of the high dynamic range image data according to the first image data and the second image data a motion index of the pixel; a fourth code, configured to determine, according to the first pixel value of the corresponding pixel of the first image data, the second image value of the corresponding pixel of the second image data, and the motion index a pixel value of each pixel of the high dynamic range image data; and a fifth code for outputting the high dynamic range image data. The computer program product of claim 9, wherein the motion index M _{i , j} of each pixel P _{i , j} of the high dynamic range image data is determined according to the following: if the high dynamic range image data The pixel value difference of each pixel P _{i , j} is less than or equal to a first threshold, and the motion index M _{i , j} is 0; if the pixel value difference of each pixel P _{i , j} of the high dynamic range image data is greater than Or equal to a second threshold, the motion index M _{i , j} is 1; and if the pixel value difference of each pixel P _{i , j} of the high dynamic range image data is greater than the first threshold and less than the second threshold, The motion index M _{i , j} is a value greater than 0 and less than 1, wherein the larger the pixel value difference, the larger the motion index M _{i , j} . The computer program product of claim 10, wherein the pixel value difference D _{i , j} of each pixel P _{i , j} of the high dynamic range image data is calculated according to the following: Where V ( P ) represents the pixel value of a pixel P , GA represents an exposure gain and is equal to 2 ^(EV1-EV2) , where EV1 represents the first exposure value and EV2 represents the second exposure value. The computer program product of claim 11, wherein the pixel value V ( P _{i , j} ) of each pixel P _{i , j} of the high dynamic range image data is determined according to the following: if the first pixel The value is greater than or equal to a saturation threshold, and the pixel value V ( P _{i , j} ) of each pixel P _{i , j} of the high dynamic range image data is equal to the second pixel value multiplied by the exposure gain; and if the first The pixel value is less than a saturation threshold, and the pixel value V ( P _{i , j} ) of each pixel P _{i , j} of the high dynamic range image data is equal to (1- M _{i , j} )×(the first pixel value)+ M _{i , j} × GA × (the second pixel value).